Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Ford Motor Company (United States)

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Papers in the tracked journals with an author at Ford Motor Company (United States): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

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Key findings#

  • From 2017 to 2026 (so far), authors at Ford Motor Company (United States) took part in 46 papers in the tracked journals, most of them in operations research (20), AI (16) and economics (8).
  • 3 of them were published in 2025, against 3 in 2017.
  • Since 2023, the institutions with the most of these papers were The Ohio State University (3), University of Colorado Boulder (2) and University of Washington (2).
  • The journals publishing most of them were Robotics and Autonomous Systems (2), Artificial Intelligence (1) and Business Economics (1).
  • The most-cited of them is “A human-like game theory-based controller for automatic lane changing” (Transportation Research Part C Emerging Technologies, 2018), with 316 citations.
  • Since 2023, papers in the tracked journals cited 22 of its papers 155 times; 97% of those links came from papers with a university author and 2% from its own papers.
  • Its own papers since 2023 cite archived papers 66 times, 9% of them papers with a company author.
  • Across everything OpenAlex indexes, Ford Motor Company (United States) has 17,122 works with 981,657 citations (h-index 323).
  • The tracked journals hold 43 of its 3,405 works in OpenAlex from 2017 to 2025 (1.3%).
  • Its main research topics in OpenAlex are Advanced Combustion Engine Technologies (1,740), Engine and Fuel Emissions (1,555) and Vehicle Dynamics and Control Systems (1,070).

Papers per year#

2017: 3 papers2018: 4 papers2019: 4 papers2020: 5 papers2021: 10 papers2022: 5 papers2023: 4 papers2024: 5 papers2025: 3 papers2026 (so far): 3 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Operations Research1311640310
AI0113214112
Economics2021100110
Marketing0000000001
Management0000100000
All categories34451054533

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1The Ohio State University3
2University of Colorado Boulder2
3University of Washington2
4Analog Devices (United States)1
5Binghamton University1
6Bryant University1
7Centre National de la Recherche Scientifique1
8Faculty of Mechanical Engineering and Naval Architecture in Zagreb1
9Georgia Institute of Technology1
Countries with the most papers, since 2023
#CountryPapers
1United States15
2Belgium1
3China1
4Germany1
5France1
6United Kingdom1
7Croatia1
8India1
9Saudi Arabia1
10Sweden1
Keywords with the most papers, since 2023
#KeywordPapers
1model predictive control2
2COVID-19 pandemic1
3COVID-19 pandemic disruption1
4Industry 5.01
5Markovian jump systems1
6acquisition functions1
7action knowledge1
8active learning (machine learning)1
9actuator redundancy1
10ambiguity set1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
13163.0A human-like game theory-based controller for automatic lane changingTransportation Research Part C Emerging Technologies2018-02-04Hongtao Yu, H. Eric Tseng, Reza Langari
23004.4Spatio-temporal analysis of on-demand transit: A case study of Belleville, CanadaTransportation Research Part A Policy and Practice2021-02-11Irum Sanaullah, Nael Alsaleh, Shadi Djavadian et al.
31191.2An HMM and polynomial regression based approach for remaining useful life and health state estimation of cutting toolsComputers & Industrial Engineering2018-05-12Akhilesh Kumar, Ratna Babu Chinnam, Finn Tseng
41181.5Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective OptimizationIEEE Transactions on Evolutionary Computation2020-05-05Julian Blank, Kalyanmoy Deb, Yashesh Dhebar et al.
51171.4Driver fatigue transition prediction in highly automated driving using physiological featuresExpert Systems with Applications2020-01-14Feng Zhou, Areen Alsaid, Mike Blommer et al.
6630.6Globally energy-optimal speed planning for road vehicles on a given routeTransportation Research Part C Emerging Technologies2018-06-14Xiangrui Zeng, Junmin Wang
7540.9Neglected elements: What we should cover more of in international business researchJournal of International Business Studies2021-10-28Ilgaz Tahir Arikan, Oded Shenkar
8510.4Car ownership policies in China: Preferences of residents and influence on the choice of electric carsTransport Policy2017-05-19Xiaofang Yang, Wen Jin, Hai Jiang et al.
9500.6Near- (2020) and long-term (2030–2035) costs of automated, electrified, and shared mobility in the United StatesTransport Policy2019-10-21Junia Compostella, Lewis M. Fulton, Robert D. De Kleine et al.
10480.6Explaining Deep Learning Models Through Rule-Based Approximation and VisualizationIEEE Transactions on Fuzzy Systems2020-06-03Eduardo Almeida Soares, Plamen Parvanov Angelov, Bruno Sielly Jales Costa et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Hong Kong Polytechnic UniversityUniversityHong Kong8
2North Carolina State UniversityUniversityUnited States6
3Hong Kong University of Science and TechnologyUniversityHong Kong6
4University of ZagrebUniversityCroatia5
5Southeast UniversityUniversityChina5
6Tongji UniversityUniversityChina4
7Faculty of Mechanical Engineering and Naval Architecture in ZagrebUniversityCroatia4
8École Polytechnique Fédérale de LausanneUniversitySwitzerland4
9Delft University of TechnologyUniversityNetherlands4

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1University of MissouriUniversityUnited States4
2Swedish University of Agricultural SciencesUniversitySweden3
3Delft University of TechnologyUniversityNetherlands3
4The University of SydneyUniversityAustralia2
5Cornell UniversityUniversityUnited States2
6Resources For The FutureNonprofitUnited States2
7Lille Économie ManagementResearch facilityFrance2
8Kennisinstituut voor MobiliteitsbeleidGovernmentNetherlands2
9Stanford UniversityUniversityUnited States2

Citation links inside the tracked journals; see the corporate citation network and industry–university links.

In OpenAlex#

Ford Motor Company (United States) in OpenAlex
ItemValue
TypeCompany
LocationDearborn, Michigan, United States
Also known asFord
Units listed in OpenAlex4
Works in OpenAlex17,122
Citations981,657
h-index323
i10-index16,321
2-year mean citedness3.39
Websitewww.ford.com
RORror.org/00g2tkw06
OpenAlexopenalex.org/I1292974536
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Advanced Combustion Engine TechnologiesChemical Engineering1,740
2Engine and Fuel EmissionsEngineering1,555
3Vehicle Dynamics and Control SystemsEngineering1,070
4Vehicle emissions and performanceEngineering920
5Vehicle Noise and Vibration ControlEngineering824
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)13415,79632.2%
202521522,11931.4%
202422823,23852.2%
202334823,00741.1%
202236122,58151.4%
202141623,561102.4%
202041221,64751.2%
201937420,37541.1%
201840418,50441.0%
201764717,61830.5%

From OpenAlex's own record of the institution (CC0), read again monthly. Works and citations count everything OpenAlex indexes, not only the tracked journals; topics are OpenAlex's classification of those works.

Cite this page

Scholar4AI. (2026). Ford Motor Company (United States). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/ford-motor-company-united-states

@misc{scholar4ai-companies-ford-motor-company-united-states,
  author = {{Scholar4AI}},
  title = {Ford Motor Company (United States)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/ford-motor-company-united-states}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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