Frank Schilder

1.9k total citations
53 papers, 912 citations indexed

About

Frank Schilder is a scholar working on Artificial Intelligence, Political Science and International Relations and Computer Networks and Communications. According to data from OpenAlex, Frank Schilder has authored 53 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 9 papers in Political Science and International Relations and 6 papers in Computer Networks and Communications. Recurrent topics in Frank Schilder's work include Natural Language Processing Techniques (29 papers), Topic Modeling (28 papers) and Semantic Web and Ontologies (14 papers). Frank Schilder is often cited by papers focused on Natural Language Processing Techniques (29 papers), Topic Modeling (28 papers) and Semantic Web and Ontologies (14 papers). Frank Schilder collaborates with scholars based in United States, Germany and United Kingdom. Frank Schilder's co-authors include James Pustejovsky, Christopher Habel, Marc Verhagen, Mark Hepple, Robert Gaizauskas, Graham Katz, Jack G. Conrad, Dezhao Song, Jochen L. Leidner and Blake Stephen Howald and has published in prestigious journals such as IEEE Access, Computational Linguistics and Lecture notes in computer science.

In The Last Decade

Frank Schilder

46 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank Schilder United States	15	762	111	83	73	66	53	912
Viviane P. Moreira Brazil	14	417 0.5×	153 1.4×	44 0.5×	41 0.6×	34 0.5×	59	564
Prasenjit Majumder India	14	821 1.1×	208 1.9×	69 0.8×	12 0.2×	28 0.4×	68	905
Marc Moens United Kingdom	15	1.3k 1.7×	224 2.0×	68 0.8×	54 0.7×	46 0.7×	21	1.5k
Mikel Artetxe Spain	10	1.4k 1.9×	115 1.0×	32 0.4×	29 0.4×	14 0.2×	35	1.6k
Andrei Mikheev United Kingdom	13	768 1.0×	149 1.3×	46 0.6×	24 0.3×	21 0.3×	17	859
Carlos E. Alchourrón Argentina	9	1.7k 2.2×	80 0.7×	23 0.3×	105 1.4×	118 1.8×	17	2.0k
Serena Villata France	17	644 0.8×	166 1.5×	21 0.3×	30 0.4×	52 0.8×	75	793
Abigail See United States	4	2.1k 2.7×	274 2.5×	44 0.5×	26 0.4×	33 0.5×	5	2.2k
Atefeh Farzindar Canada	12	602 0.8×	171 1.5×	61 0.7×	60 0.8×	42 0.6×	22	863
Julian Kupiec United States	9	1.7k 2.2×	261 2.4×	83 1.0×	44 0.6×	8 0.1×	13	1.9k

Countries citing papers authored by Frank Schilder

Since Specialization

Citations

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

Fields of papers citing papers by Frank Schilder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Schilder

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Schilder. A scholar is included among the top collaborators of Frank Schilder 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 Frank Schilder. Frank Schilder 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

Zhang, Dell, et al.. (2023). Unleashing the Power of Large Language Models for Legal Applications. 5257–5258. 4 indexed citations

Schilder, Frank, et al.. (2023). Exploring the Effectiveness of Prompt Engineering for Legal Reasoning Tasks. 13582–13596. 16 indexed citations

Sartor, Giovanni, Michał Araszkiewicz, Katie Atkinson, et al.. (2022). Thirty years of Artificial Intelligence and Law: the second decade. Artificial Intelligence and Law. 30(4). 521–557. 8 indexed citations

Rhebergen, Didi, Frank Schilder, Filip Bouckaert, et al.. (2021). The pattern of inflammatory markers during electroconvulsive therapy in older depressed patients. The World Journal of Biological Psychiatry. 22(10). 770–777. 7 indexed citations

Song, Dezhao, et al.. (2021). Multi-label legal document classification: A deep learning-based approach with label-attention and domain-specific pre-training. Information Systems. 106. 101718–101718. 47 indexed citations

Shuai, Xin, et al.. (2017). A Multidimensional Investigation of the Effects of Publication Retraction on Scholarly Impact. Journal of the Association for Information Science and Technology. 68(9). 2225–2236. 31 indexed citations

Song, Dezhao, et al.. (2015). TR Discover: A Natural Language Question Answering System for Interlinked Datasets.. International Semantic Web Conference. 1 indexed citations

Howald, Blake Stephen, et al.. (2013). A Statistical NLG Framework for Aggregated Planning and Realization. Meeting of the Association for Computational Linguistics. 1406–1415. 38 indexed citations

Schilder, Frank, et al.. (2013). GenNext: A Consolidated Domain Adaptable NLG System. 178–182. 3 indexed citations

10.

Leidner, Jochen L. & Frank Schilder. (2010). Hunting for the Black Swan: Risk Mining from Text. Meeting of the Association for Computational Linguistics. 54–59. 8 indexed citations

11.

Conrad, Jack G., et al.. (2009). Query-based opinion summarization for legal blog entries. 167–176. 13 indexed citations

12.

Schilder, Frank, et al.. (2008). Thomson Reuters at TAC 2008: Aggressive Filtering with FastSum for Update and Opinion Summarization.. Theory and applications of categories. 9 indexed citations

13.

Schilder, Frank, et al.. (2008). Polarity Filtering for Sentiment Summarization. 2 indexed citations

14.

Schilder, Frank, et al.. (2008). FastSum. 205–205. 48 indexed citations

15.

Schilder, Frank, et al.. (2007). Annotating, extracting and reasoning about time and events : International Seminar, Dagstuhl Castle, Germany, April 10-15, 2005 : revised papers. Medical Entomology and Zoology. 1 indexed citations

16.

Schilder, Frank, et al.. (2005). Temporal information extraction from legal documents. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 3 indexed citations

17.

Schilder, Frank. (2004). Extracting meaning from temporal nouns and temporal prepositions. ACM Transactions on Asian Language Information Processing. 3(1). 33–50. 20 indexed citations

18.

Schilder, Frank & Christopher Habel. (2003). Temporal information extraction for temporal question answering. 35–44. 10 indexed citations

19.

Schilder, Frank. (1998). An Underspecified Segmented Discourse Representation Theory (USDRT). 2. 1188–1192. 2 indexed citations

20.

Schilder, Frank. (1961). Another statistical study in size of cowries. Biodiversity Heritage Library (Smithsonian Institution). 1 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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