Christopher Kotfila

609 total citations
8 papers, 377 citations indexed

About

Christopher Kotfila is a scholar working on Communication, Political Science and International Relations and Molecular Biology. According to data from OpenAlex, Christopher Kotfila has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Communication, 3 papers in Political Science and International Relations and 2 papers in Molecular Biology. Recurrent topics in Christopher Kotfila's work include Social Media and Politics (4 papers), E-Government and Public Services (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Christopher Kotfila is often cited by papers focused on Social Media and Politics (4 papers), E-Government and Public Services (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Christopher Kotfila collaborates with scholars based in United States. Christopher Kotfila's co-authors include Özlem Uzuner, Amber Stubbs, Hua Xu, Teresa M. Harrison, Loni Hagen, Feng Chen and Feng Chen and has published in prestigious journals such as Journal of Biomedical Informatics, Big Data & Society and Digital Commons - University of South Florida (University of South Florida).

In The Last Decade

Christopher Kotfila

8 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Kotfila United States 7 250 137 67 53 44 8 377
Reyyan Yeniterzi Türkiye 10 295 1.2× 68 0.5× 44 0.7× 14 0.3× 37 0.8× 26 393
Maria Skeppstedt Sweden 14 546 2.2× 363 2.6× 50 0.7× 9 0.2× 28 0.6× 58 636
Eva Méndez Spain 9 91 0.4× 32 0.2× 11 0.2× 23 0.4× 23 0.5× 59 302
Lizhou Fan United States 7 132 0.5× 14 0.1× 7 0.1× 32 0.6× 46 1.0× 16 215
Sanmitra Bhattacharya United States 8 92 0.4× 47 0.3× 12 0.2× 67 1.3× 114 2.6× 20 252
William Cohen United States 8 230 0.9× 53 0.4× 6 0.1× 4 0.1× 73 1.7× 22 440
Aparup Khatua India 10 217 0.9× 10 0.1× 5 0.1× 67 1.3× 130 3.0× 23 361
Go Eun Heo South Korea 9 123 0.5× 138 1.0× 4 0.1× 5 0.1× 21 0.5× 23 272
Andrew MacKinlay Australia 12 313 1.3× 116 0.8× 18 0.3× 13 0.2× 46 1.0× 30 432
Despoina Antonakaki Greece 8 143 0.6× 21 0.2× 4 0.1× 31 0.6× 98 2.2× 13 294

Countries citing papers authored by Christopher Kotfila

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Kotfila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Kotfila

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

All Works

8 of 8 papers shown
1.
Stubbs, Amber, Christopher Kotfila, & Özlem Uzuner. (2015). Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1. Journal of Biomedical Informatics. 58. S11–S19. 148 indexed citations
2.
Stubbs, Amber, Christopher Kotfila, Hua Xu, & Özlem Uzuner. (2015). Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2. Journal of Biomedical Informatics. 58. S67–S77. 86 indexed citations
3.
Harrison, Teresa M., et al.. (2015). E-petitioning as Collective Political Action in We the People. Digital Commons - University of South Florida (University of South Florida). 1–20. 5 indexed citations
4.
Kotfila, Christopher & Özlem Uzuner. (2015). A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases. Journal of Biomedical Informatics. 58. S92–S102. 19 indexed citations
5.
Hagen, Loni, et al.. (2015). Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach. Digital Commons - University of South Florida (University of South Florida). 2134–2143. 29 indexed citations
6.
Hagen, Loni, et al.. (2015). Introducing textual analysis tools for policy informatics. Digital Commons - University of South Florida (University of South Florida). 10–19. 16 indexed citations
7.
Harrison, Teresa M., et al.. (2015). Examining political mobilization of online communities through e-petitioning behavior in We the People. Big Data & Society. 2(2). 56 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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