Carole D. Hafner

33 total papers · 993 total citations
27 papers, 676 citations indexed

About

Carole D. Hafner is a scholar working on Artificial Intelligence, Political Science and International Relations and Computer Networks and Communications. According to data from OpenAlex, Carole D. Hafner has authored 27 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 10 papers in Political Science and International Relations and 8 papers in Computer Networks and Communications. Recurrent topics in Carole D. Hafner's work include Semantic Web and Ontologies (12 papers), Artificial Intelligence in Law (9 papers) and Multi-Agent Systems and Negotiation (8 papers). Carole D. Hafner is often cited by papers focused on Semantic Web and Ontologies (12 papers), Artificial Intelligence in Law (9 papers) and Multi-Agent Systems and Negotiation (8 papers). Carole D. Hafner collaborates with scholars based in United States, Mexico and Canada. Carole D. Hafner's co-authors include Natalya F. Noy, Eileen M. Trauth, Jun Gong, Peter Tarasewich, I. Scott MacKenzie and Edwina L. Rissland and has published in prestigious journals such as Communications of the ACM, Journal of the Association for Information Systems and ACM Transactions on Information Systems.

In The Last Decade

Carole D. Hafner

27 papers receiving 573 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Carole D. Hafner	536	239	154	84	83	27	676
L. Thorne McCarty	519 1.0×	220 0.9×	48 0.3×	48 0.6×	60 0.7×	28	628
David B. Skalak	516 1.0×	267 1.1×	67 0.4×	28 0.3×	63 0.8×	20	630
Serena Villata	639 1.2×	51 0.2×	166 1.1×	30 0.4×	23 0.3×	74	783
Michèle Finck	157 0.3×	54 0.2×	245 1.6×	27 0.3×	37 0.4×	42	589
Gerard A. W. Vreeswijk	596 1.1×	69 0.3×	115 0.7×	29 0.3×	29 0.3×	37	734
Judie Attard	211 0.4×	444 1.9×	111 0.7×	53 0.6×	23 0.3×	21	783
Kripabandhu Ghosh	471 0.9×	210 0.9×	95 0.6×	17 0.2×	10 0.1×	60	642
Junzhou Zhao	310 0.6×	80 0.3×	92 0.6×	114 1.4×	36 0.4×	62	605
Philipp Hacker	294 0.5×	67 0.3×	159 1.0×	14 0.2×	56 0.7×	59	730
Sukomal Pal	468 0.9×	60 0.3×	286 1.9×	45 0.5×	14 0.2×	62	699

Countries citing papers authored by Carole D. Hafner

Since Specialization

Citations

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

Fields of papers citing papers by Carole D. Hafner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carole D. Hafner. 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 Carole D. Hafner. The network helps show where Carole D. Hafner may publish in the future.

Co-authorship network of co-authors of Carole D. Hafner

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

All Works

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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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