Michael Färber

1.7k total citations
69 papers, 762 citations indexed

About

Michael Färber is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Färber has authored 69 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 21 papers in Information Systems and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Färber's work include Topic Modeling (22 papers), Natural Language Processing Techniques (15 papers) and Semantic Web and Ontologies (12 papers). Michael Färber is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (15 papers) and Semantic Web and Ontologies (12 papers). Michael Färber collaborates with scholars based in Germany, Japan and France. Michael Färber's co-authors include Achim Rettinger, Adam Jatowt, Dimitri Kténas, Xavier Mestre, Oriol Font-Bach, Leonardo Gomes Baltar, Robin Gerzaguet, Nikolaos Bartzoudis, Kilian Roth and Jean‐Baptiste Doré and has published in prestigious journals such as The American Journal of Gastroenterology, Scientometrics and Language Resources and Evaluation.

In The Last Decade

Michael Färber

61 papers receiving 715 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Färber Germany	11	369	245	158	153	118	69	762
Seungwoo Lee South Korea	11	275 0.7×	64 0.3×	120 0.8×	86 0.6×	139 1.2×	67	580
Denis Charles United States	10	362 1.0×	127 0.5×	185 1.2×	216 1.4×	165 1.4×	21	703
Rajaraman Kanagasabai Singapore	15	249 0.7×	63 0.3×	224 1.4×	133 0.9×	43 0.4×	70	618
Ramanathan Narayanan United States	9	462 1.3×	55 0.2×	217 1.4×	174 1.1×	30 0.3×	20	808
Qika Lin China	17	483 1.3×	49 0.2×	139 0.9×	28 0.2×	125 1.1×	39	712
Mark Needleman United States	11	177 0.5×	83 0.3×	212 1.3×	297 1.9×	19 0.2×	60	586
Daniel R. Figueiredo Brazil	15	151 0.4×	82 0.3×	74 0.5×	549 3.6×	62 0.5×	52	746
Nor Haniza Sarmin Malaysia	10	161 0.4×	88 0.4×	113 0.7×	37 0.2×	111 0.9×	207	603
Alan Hartman Israel	17	398 1.1×	406 1.7×	183 1.2×	113 0.7×	55 0.5×	51	1.1k
James Michaelis United States	10	268 0.7×	35 0.1×	155 1.0×	202 1.3×	135 1.1×	37	561

Countries citing papers authored by Michael Färber

Since Specialization

Citations

This map shows the geographic impact of Michael Färber'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 Michael Färber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Färber more than expected).

Fields of papers citing papers by Michael Färber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Färber. 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 Michael Färber. The network helps show where Michael Färber may publish in the future.

Co-authorship network of co-authors of Michael Färber

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Färber. A scholar is included among the top collaborators of Michael Färber 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 Michael Färber. Michael Färber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Färber, Michael, et al.. (2025). Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass. 31680–31693.

Sun, Jingyi, et al.. (2025). Graph-Guided Textual Explanation Generation Framework. Research at the University of Copenhagen (University of Copenhagen). 29350–29374.

Färber, Michael, et al.. (2024). GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. 3987–4001. 1 indexed citations

Giacoumidis, Elias, et al.. (2024). A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON. W1H.1–W1H.1. 1 indexed citations

Färber, Michael, et al.. (2024). Embedded Named Entity Recognition using Probing Classifiers. 17830–17850. 1 indexed citations

Färber, Michael, et al.. (2023). Biases in scholarly recommender systems: impact, prevalence, and mitigation. Scientometrics. 128(5). 2703–2736. 4 indexed citations

Färber, Michael, et al.. (2023). Analyzing the impact of companies on AI research based on publications. Scientometrics. 129(1). 31–63. 9 indexed citations

Färber, Michael, et al.. (2023). Evaluating Generative Models for Graph-to-Text Generation. 1256–1264. 4 indexed citations

Färber, Michael, et al.. (2022). The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings. Quantitative Science Studies. 3(1). 51–98. 21 indexed citations

10.

Jatowt, Adam, et al.. (2020). Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing. Language Resources and Evaluation. 1478–1484. 21 indexed citations

11.

Färber, Michael, et al.. (2020). unarXive: a large scholarly data set with publications’ full-text, annotated in-text citations, and links to metadata. Scientometrics. 125(3). 3085–3108. 23 indexed citations

12.

Färber, Michael, et al.. (2019). Identifying Twitter Bots Using a Convolutional Neural Network.. CLEF (Working Notes). 5 indexed citations

13.

Färber, Michael, Alexander Thiemann, & Adam Jatowt. (2018). A High-Quality Gold Standard for Citation-based Tasks.. Language Resources and Evaluation. 7 indexed citations

14.

Ayala, Víctor, et al.. (2017). A delay-robust touristic plan recommendation using real-world public transportation information. VBN Forskningsportal (Aalborg Universitet). 1906. 9–17. 4 indexed citations

15.

Zhang, Lei, Michael Färber, & Achim Rettinger. (2016). XKnowSearch!. 2425–2428. 5 indexed citations

16.

Zhang, Lei, et al.. (2015). Exploiting Knowledge Bases for Multilingual and Cross-lingual Semantic Annotation and Search. International Semantic Web Conference. 1 indexed citations

17.

Brueck, Stefan, Michael Färber, Jaakko Vihriälä, et al.. (2012). EU FP7 INFSO-ICT-247223 ARTIST4G, D3.5c Moving Relays and Mobility aspects. Chalmers Research (Chalmers University of Technology). 1 indexed citations

18.

Papadogiannis, Agisilaos, Michael Färber, Ahmed Saadani, et al.. (2012). Advanced relaying concepts for future wireless networks. Chalmers Publication Library (Chalmers University of Technology). 1–10. 5 indexed citations

19.

Färber, Michael, Simone Redana, Ahmed Saadani, et al.. (2011). EU FP7 INFSO-ICT-247223 ARTIST4G, D3.4 Relay configurations. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations

20.

Dörpinghaus, Meik, et al.. (2007). Joint Reduction of Peak-to-Average Power Ratio and Out-of-Band Power in OFDM Systems. 3812–3816. 13 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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