Harold R. Solbrig

125 total papers · 2.0k total citations
71 papers, 660 citations indexed

About

Harold R. Solbrig is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Harold R. Solbrig has authored 71 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 49 papers in Artificial Intelligence and 20 papers in Health Information Management. Recurrent topics in Harold R. Solbrig's work include Biomedical Text Mining and Ontologies (59 papers), Semantic Web and Ontologies (46 papers) and Natural Language Processing Techniques (15 papers). Harold R. Solbrig is often cited by papers focused on Biomedical Text Mining and Ontologies (59 papers), Semantic Web and Ontologies (46 papers) and Natural Language Processing Techniques (15 papers). Harold R. Solbrig collaborates with scholars based in United States, United Kingdom and Austria. Harold R. Solbrig's co-authors include Christopher G. Chute, Guoqian Jiang, Eric Prud’hommeaux, Cui Tao, José Emilio Labra Gayo, Jyotishman Pathak, Deepak Sharma, Hongfang Liu, C. G. Chute and Guergana Savova and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics and Methods of Information in Medicine.

In The Last Decade

Harold R. Solbrig

67 papers receiving 628 citations

Author Peers

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

Author						Papers	Cites
Harold R. Solbrig	409	381	180	68	57	71	660
Mathias Brochhausen	459 1.1×	335 0.9×	108 0.6×	50 0.7×	57 1.0×	76	706
Ritu Khare	270 0.7×	274 0.7×	127 0.7×	133 2.0×	96 1.7×	44	766
Nansu Zong	319 0.8×	198 0.5×	93 0.5×	57 0.8×	75 1.3×	46	626
Stefan Schulz	399 1.0×	474 1.2×	71 0.4×	48 0.7×	71 1.2×	66	594
Philipp Daumke	331 0.8×	376 1.0×	126 0.7×	45 0.7×	49 0.9×	29	695
Éric Zapletal	142 0.3×	145 0.4×	162 0.9×	56 0.8×	43 0.8×	34	635
Gayo Diallo	281 0.7×	298 0.8×	61 0.3×	62 0.9×	133 2.3×	104	733
Georg Duftschmid	164 0.4×	109 0.3×	266 1.5×	92 1.4×	42 0.7×	60	647
Michael Lawley	303 0.7×	377 1.0×	115 0.6×	41 0.6×	110 1.9×	48	587
Meliha Yetisgen-Yildiz	467 1.1×	497 1.3×	58 0.3×	38 0.6×	38 0.7×	29	764

Countries citing papers authored by Harold R. Solbrig

Since Specialization

Citations

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

Fields of papers citing papers by Harold R. Solbrig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold R. Solbrig. 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 Harold R. Solbrig. The network helps show where Harold R. Solbrig may publish in the future.

Co-authorship network of co-authors of Harold R. Solbrig

This figure shows the co-authorship network connecting the top 25 collaborators of Harold R. Solbrig. A scholar is included among the top collaborators of Harold R. Solbrig 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 Harold R. Solbrig. Harold R. Solbrig 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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