D. Paccamonti

20 total papers · 436 total citations
17 papers, 295 citations indexed

About

D. Paccamonti is a scholar working on Agronomy and Crop Science, Equine and Reproductive Medicine. According to data from OpenAlex, D. Paccamonti has authored 17 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Agronomy and Crop Science, 7 papers in Equine and 6 papers in Reproductive Medicine. Recurrent topics in D. Paccamonti's work include Reproductive Physiology in Livestock (13 papers), Veterinary Equine Medical Research (7 papers) and Sperm and Testicular Function (6 papers). D. Paccamonti is often cited by papers focused on Reproductive Physiology in Livestock (13 papers), Veterinary Equine Medical Research (7 papers) and Sperm and Testicular Function (6 papers). D. Paccamonti collaborates with scholars based in United States, Netherlands and Germany. D. Paccamonti's co-authors include M. Meintjes, R.A. Godke, B.E. Eilts, C.R.F. Pinto, B.C. Reggio, Jonathan F. Pycock, G.C. van der Weijden, J.R. Broussard, J.M. Parlevliet and Azuwerus van Buiten and has published in prestigious journals such as Biology of Reproduction, Theriogenology and Animal Reproduction Science.

In The Last Decade

D. Paccamonti

17 papers receiving 266 citations

Author Peers

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

Author						Papers	Cites
D. Paccamonti	156	155	150	86	53	17	295
W. E. Allen	114 0.7×	116 0.7×	132 0.9×	72 0.8×	37 0.7×	22	301
T. A. E. Stout	144 0.9×	71 0.5×	170 1.1×	127 1.5×	54 1.0×	21	322
AR Günzel‐Apel	141 0.9×	152 1.0×	106 0.7×	47 0.5×	48 0.9×	18	326
G. L. Heusner	93 0.6×	126 0.8×	91 0.6×	122 1.4×	52 1.0×	19	363
Foote Rh	159 1.0×	185 1.2×	99 0.7×	46 0.5×	66 1.2×	21	358
Cláudio Alves Pimentel	100 0.6×	105 0.7×	162 1.1×	39 0.5×	81 1.5×	25	295
Christiane Otzdorff	104 0.7×	80 0.5×	136 0.9×	52 0.6×	42 0.8×	17	290
Anne-Lyse Lainé	97 0.6×	89 0.6×	110 0.7×	60 0.7×	99 1.9×	12	258
E. Taberner	137 0.9×	197 1.3×	119 0.8×	59 0.7×	52 1.0×	20	332
Pamela A. Bowman	118 0.8×	167 1.1×	171 1.1×	20 0.2×	116 2.2×	8	315

Countries citing papers authored by D. Paccamonti

Since Specialization

Citations

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

Fields of papers citing papers by D. Paccamonti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Paccamonti

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