Ingo Frommholz

874 total citations
57 papers, 308 citations indexed

About

Ingo Frommholz is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ingo Frommholz has authored 57 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 26 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ingo Frommholz's work include Semantic Web and Ontologies (13 papers), Information Retrieval and Search Behavior (10 papers) and Topic Modeling (8 papers). Ingo Frommholz is often cited by papers focused on Semantic Web and Ontologies (13 papers), Information Retrieval and Search Behavior (10 papers) and Topic Modeling (8 papers). Ingo Frommholz collaborates with scholars based in United Kingdom, Germany and France. Ingo Frommholz's co-authors include Mounia Lalmas, Benjamin Piwowarski, Keith van Rijsbergen, Philipp Mayr, Guillaume Cabanac, Haider Al‐Khateeb, Norbert Fuhr, Dietmar Wolfram, Martin Potthast and Haiming Liu and has published in prestigious journals such as Scientometrics, Electronics and Knowledge and Information Systems.

In The Last Decade

Ingo Frommholz

49 papers receiving 289 citations

Peers

Ingo Frommholz
Shantanu Godbole India
Youngho Kim South Korea
Kyle Williams United States
Yuchul Jung South Korea
Lynda Tamine France
Marc Bron Netherlands
Marieke Guy United Kingdom
Vítor Mangaravite Brazil
Abdallah Yousif China
Daniel Tunkelang United States
Shantanu Godbole India
Ingo Frommholz
Citations per year, relative to Ingo Frommholz Ingo Frommholz (= 1×) peers Shantanu Godbole

Countries citing papers authored by Ingo Frommholz

Since Specialization
Citations

This map shows the geographic impact of Ingo Frommholz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ingo Frommholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Frommholz more than expected).

Fields of papers citing papers by Ingo Frommholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingo Frommholz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ingo Frommholz. The network helps show where Ingo Frommholz may publish in the future.

Co-authorship network of co-authors of Ingo Frommholz

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Frommholz. A scholar is included among the top collaborators of Ingo Frommholz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ingo Frommholz. Ingo Frommholz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ranasinghe, Tharindu, et al.. (2025). Survey on legal information extraction: current status and open challenges. Knowledge and Information Systems. 67(12). 11287–11358.
2.
Frommholz, Ingo, et al.. (2025). Uses of Metaverse Recordings in Multimedia Information Retrieval. 1(1). 2–2.
3.
Fuhr, Norbert, Krisztian Balog, Philipp Schaer, et al.. (2024). Report on the 1st Workshop on Simulations for Information Access (Sim4IA 2024) at SIGIR 2024. ACM SIGIR Forum. 58(2). 1–14. 2 indexed citations
4.
Frommholz, Ingo, et al.. (2024). 256 Metaverse Records Dataset. 4256–4263. 4 indexed citations
5.
Kevitt, Paul Mc, et al.. (2023). Parallelization Strategies for Graph-Code-Based Similarity Search. Big Data and Cognitive Computing. 7(2). 70–70. 1 indexed citations
6.
Cabanac, Guillaume, Ingo Frommholz, & Philipp Mayr. (2020). Report on the 10th anniversary workshop on bibliometric-enhanced information retrieval (BIR 2020). ACM SIGIR Forum. 54(1). 1–9. 1 indexed citations
7.
Jaiswal, Amit Kumar, et al.. (2018). Quantum-like Generalization of Complex Word Embedding: A Lightweight Approach for Textual Classification.. University of Bedfordshire Repository (University of Bedfordshire). 159–168. 4 indexed citations
8.
Mayr, Philipp, Ingo Frommholz, & Guillaume Cabanac. (2017). Report on the 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2017). ACM SIGIR Forum. 51(1). 29–35. 2 indexed citations
9.
Frommholz, Ingo & Thomas Roelleke. (2016). Scalable DB+IR Technology: Processing Probabilistic Datalog with HySpirit. Datenbank-Spektrum. 16(1). 39–48. 1 indexed citations
10.
Frommholz, Ingo, et al.. (2016). On Textual Analysis and Machine Learning for Cyberstalking Detection. Datenbank-Spektrum. 16(2). 127–135. 25 indexed citations
11.
Frommholz, Ingo, et al.. (2015). A machine learning framework to detect and document text-based cyberstalking. University of Bedfordshire Repository (University of Bedfordshire). 348–355. 5 indexed citations
12.
Frommholz, Ingo, et al.. (2014). Cluster-based polyrepresentation as science modelling approach for information retrieval. Scientometrics. 102(3). 2301–2322. 8 indexed citations
13.
Frommholz, Ingo, et al.. (2014). Great War stories told by the people - Crowdsourced cultural heritage in digital museums. 419–420. 2 indexed citations
14.
Song, Dawei, Mounia Lalmas, C. J. van Rijsbergen, et al.. (2010). How quantum theory is developing the field of Information Retrieval. Open Research Online (The Open University). 105–108. 8 indexed citations
15.
Frommholz, Ingo & C. J. van Rijsbergen. (2009). Towards a geometrical model for polyrepresentation of information objects. University of Bedfordshire Repository (University of Bedfordshire). 2 indexed citations
16.
Beckers, Thomas, et al.. (2009). Multi-facet classification of e-mails in a helpdesk scenario. LWA. 140(2). 301–16. 1 indexed citations
17.
Frommholz, Ingo, et al.. (2008). Determining the polarity of postings for discussion search. University of Bedfordshire Repository (University of Bedfordshire). 49–56. 3 indexed citations
18.
Lalmas, Mounia, Joemon M. Jose, Andreas Rauber, Fabrizio Sebastiani, & Ingo Frommholz. (2008). Research and Advanced Technology for Digital Libraries. University of Bedfordshire Repository (University of Bedfordshire). 9 indexed citations
19.
Frommholz, Ingo. (2005). Applying the Annotation View on Messages for Discussion Search.. Text REtrieval Conference. 3 indexed citations
20.
Frommholz, Ingo. (2001). Categorizing Web Documents in Hierarchical Catalogues. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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