Hadar Ziv

46 total papers · 452 total citations
38 papers, 281 citations indexed

About

Hadar Ziv is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Hadar Ziv has authored 38 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 17 papers in Artificial Intelligence and 14 papers in Software. Recurrent topics in Hadar Ziv's work include Advanced Software Engineering Methodologies (15 papers), Software Engineering Research (12 papers) and Software Testing and Debugging Techniques (10 papers). Hadar Ziv is often cited by papers focused on Advanced Software Engineering Methodologies (15 papers), Software Engineering Research (12 papers) and Software Testing and Debugging Techniques (10 papers). Hadar Ziv collaborates with scholars based in United States and China. Hadar Ziv's co-authors include Debra J. Richardson, Thomas A. Alspaugh, Kristina Winbladh, Natasha A. Emmerson, Kimberley D. Lakes, Sabrina Schuck, Mark Warschauer, Penelope Collins, Sameer Patil and Scott A. Hendrickson and has published in prestigious journals such as PLoS ONE, Journal of Systems and Software and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Hadar Ziv

35 papers receiving 258 citations

Author Peers

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

Author						Papers	Cites
Hadar Ziv	186	140	121	51	20	38	281
Mirka Leino	74 0.4×	87 0.6×	224 1.9×	46 0.9×	8 0.4×	25	323
Roberta Fagundes	78 0.4×	31 0.2×	72 0.6×	24 0.5×	8 0.4×	39	234
Katsuro Inoue	171 0.9×	102 0.7×	49 0.4×	51 1.0×		51	272
Dongpeng Xu	109 0.6×	88 0.6×	128 1.1×	65 1.3×	12 0.6×	24	294
Somya Goyal	213 1.1×	186 1.3×	97 0.8×	79 1.5×		28	304
Dharini Balasubramaniam	193 1.0×	66 0.5×	161 1.3×	135 2.6×		34	299
Michael Sperber	72 0.4×	60 0.4×	209 1.7×	42 0.8×	3 0.1×	43	325
Vadim Zaytsev	148 0.8×	125 0.9×	99 0.8×	40 0.8×		58	205
T. R. Gopalakrishnan Nair	113 0.6×	61 0.4×	45 0.4×	56 1.1×	2 0.1×	43	190
Ian Piumarta	46 0.2×	30 0.2×	108 0.9×	78 1.5×	3 0.1×	28	268

Countries citing papers authored by Hadar Ziv

Since Specialization

Citations

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

Fields of papers citing papers by Hadar Ziv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadar Ziv

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