David D. Pokrajac

72 total papers · 537 total citations
47 papers, 304 citations indexed

About

David D. Pokrajac is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David D. Pokrajac has authored 47 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 17 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David D. Pokrajac's work include Digital Radiography and Breast Imaging (19 papers), AI in cancer detection (11 papers) and Medical Imaging Techniques and Applications (8 papers). David D. Pokrajac is often cited by papers focused on Digital Radiography and Breast Imaging (19 papers), AI in cancer detection (11 papers) and Medical Imaging Techniques and Applications (8 papers). David D. Pokrajac collaborates with scholars based in United States, Serbia and Germany. David D. Pokrajac's co-authors include Predrag R. Bakić, Andrew D. A. Maidment, Zoran Obradović, Longin Jan Latecki, Nataša Reljin, Aleksandar Lazarević, Bruno Barufaldi, John M. Boone, Miguel P. Eckstein and Aristides Marcano Olaizola and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and IEEE Transactions on Communications.

In The Last Decade

David D. Pokrajac

43 papers receiving 297 citations

Author Peers

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

Author						Papers	Cites
David D. Pokrajac	140	136	111	76	54	47	304
Mingyan Jiang	52 0.4×	82 0.6×	71 0.6×	82 1.1×	42 0.8×	41	297
Homero Schiabel	113 0.8×	161 1.2×	221 2.0×	121 1.6×	55 1.0×	71	350
Sawon Pratiher	43 0.3×	65 0.5×	83 0.7×	76 1.0×	55 1.0×	45	351
Benoît Presles	73 0.5×	139 1.0×	52 0.5×	89 1.2×	73 1.4×	29	325
N. Suzumura	112 0.8×	53 0.4×	47 0.4×	53 0.7×	80 1.5×	37	351
Sheng Guo	18 0.1×	42 0.3×	80 0.7×	115 1.5×	35 0.6×	30	288
Maheza Irna Mohamad Salim	20 0.1×	107 0.8×	59 0.5×	60 0.8×	101 1.9×	37	326
Junji Ueno	60 0.4×	84 0.6×	165 1.5×	44 0.6×	30 0.6×	60	345
Chaijie Duan	64 0.5×	108 0.8×	35 0.3×	99 1.3×	93 1.7×	27	333
Huafeng Wang	36 0.3×	78 0.6×	58 0.5×	106 1.4×	32 0.6×	36	258

Countries citing papers authored by David D. Pokrajac

Since Specialization

Citations

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

Fields of papers citing papers by David D. Pokrajac

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. Pokrajac

This figure shows the co-authorship network connecting the top 25 collaborators of David D. Pokrajac. A scholar is included among the top collaborators of David D. Pokrajac 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 David D. Pokrajac. David D. Pokrajac 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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