---
title: "BPM (A): papers and universities"
description: "BPM (International Conference in Business Process Management) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 124 of its papers from 2024–2026 (38 in 2024, 40 in 2025, 46 in 2026). By the countries of the authors' institutions, the most papers come from Germany (73), the Netherlands (23) and Italy (22)."
url: https://scholar4ai.com/proceedings/bpm
markdown_url: https://scholar4ai.com/proceedings/bpm.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "BPM (International Conference in Business Process Management) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 124 of its papers from 2024–2026 (38 in 2024, 40 in 2025, 46 in 2026). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# BPM: International Conference in Business Process Management — papers and institutions, 2024–2026

Papers of BPM, International Conference in Business Process Management (CORE rank A; field: Software engineering), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- BPM (International Conference in Business Process Management) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 124 of its papers from 2024–2026 (38 in 2024, 40 in 2025, 46 in 2026).
- By the countries of the authors' institutions, the most papers come from Germany (73), the Netherlands (23) and Italy (22).
- The institutions with the most papers are Eindhoven University of Technology (15), RWTH Aachen University (14) and University of Mannheim (11).
- Its most-cited paper of these years is “Exploring the Cognitive Effects of Ambiguity in Process Models” (2024), with 15 citations.

## Papers per year

*BPM papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 38 | 38 |
| 2025 | 40 | 40 |
| 2026 | 46 | 46 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S106296714](https://openalex.org/S106296714) | Papers of the volumes titled “Business Process Management” (LNCS (not the LNBIP workshop and forum volumes)), found by DOI through Crossref |

## Who publishes there

*Institutions with the most BPM papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Eindhoven University of Technology | 15 |
| 2 | RWTH Aachen University | 14 |
| 3 | University of Mannheim | 11 |
| 4 | Hasso Plattner Institute | 10 |
| 5 | University of Potsdam | 10 |
| 6 | Hochschule Bonn-Rhein-Sieg | 8 |
| 7 | Free University of Bozen-Bolzano | 8 |
| 8 | Utrecht University | 8 |
| 9 | University of Padua | 7 |
| 10 | Technical University of Munich | 7 |

*Countries with the most BPM papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | Germany | 73 |
| 2 | Netherlands | 23 |
| 3 | Italy | 22 |
| 4 | Australia | 11 |
| 5 | Austria | 8 |
| 6 | Denmark | 7 |
| 7 | Belgium | 6 |
| 8 | Spain | 4 |
| 9 | Portugal | 4 |
| 10 | Switzerland | 3 |

*Keywords with the most BPM papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | process mining | 51 |
| 2 | event logs | 19 |
| 3 | business process management | 17 |
| 4 | conformance checking | 14 |
| 5 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 11 |
| 6 | business process modeling | 9 |
| 7 | process discovery | 9 |
| 8 | predictive process monitoring | 7 |
| 9 | robotic process automation | 7 |
| 10 | process management | 6 |

## Most-cited papers

*Most-cited BPM papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 15 | [Exploring the Cognitive Effects of Ambiguity in Process Models](https://doi.org/10.1007/978-3-031-70396-6_28) | 2024-01-01 | Marco Franceschetti, Amine Abbad Andaloussi, Clemens Schreiber et al. |
| 2 | 14 | [LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method](https://doi.org/10.1007/978-3-031-70396-6_27) | 2024-01-01 | Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko et al. |
| 3 | 12 | [Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning](https://doi.org/10.1007/978-3-031-70396-6_10) | 2024-01-01 | Francesca Meneghello, Jeroen Middelhuis, Laura Genga et al. |
| 4 | 11 | [Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets](https://doi.org/10.1007/978-3-031-70396-6_4) | 2024-01-01 | Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans |
| 5 | 9 | [Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring](https://doi.org/10.1007/978-3-031-70396-6_23) | 2024-01-01 | Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani et al. |
| 6 | 8 | [xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models](https://doi.org/10.1007/978-3-031-70396-6_18) | 2024-01-01 | Kiran Busch, Timotheus Kampik, Henrik Leopold |
| 7 | 8 | [Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process Monitoring](https://doi.org/10.1007/978-3-031-70396-6_21) | 2024-01-01 | Andrei Buliga, Mozhgan Vazifehdoostirani, Laura Genga et al. |
| 8 | 8 | [Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications](https://doi.org/10.1007/978-3-031-70396-6_3) | 2024-01-01 | Ivan Donadello, Paolo Felli, Craig Innes et al. |
| 9 | 7 | [OC-DECLARE: Discovering Object-Centric Declarative Patterns with Synchronization](https://doi.org/10.1007/978-3-032-02867-9_11) | 2025-08-30 | Aaron Küsters, Wil M. P. van der Aalst |
| 10 | 7 | [Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns](https://doi.org/10.1007/978-3-031-70396-6_22) | 2024-01-01 | Michael Grohs, Han van der Aa, Jana-Rebecca Rehse |

## Cite this page

Scholar4AI. (2026). BPM: International Conference in Business Process Management — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/bpm

```bibtex
@misc{scholar4ai-proceedings-bpm,
  author = {{Scholar4AI}},
  title = {BPM: International Conference in Business Process Management — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/bpm}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).