Réka Nemes

42 total papers · 529 total citations
28 papers, 347 citations indexed

About

Réka Nemes is a scholar working on Surgery, Anesthesiology and Pain Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Réka Nemes has authored 28 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 16 papers in Anesthesiology and Pain Medicine and 10 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Réka Nemes's work include Anesthesia and Sedative Agents (16 papers), Intensive Care Unit Cognitive Disorders (9 papers) and Anesthesia and Pain Management (7 papers). Réka Nemes is often cited by papers focused on Anesthesia and Sedative Agents (16 papers), Intensive Care Unit Cognitive Disorders (9 papers) and Anesthesia and Pain Management (7 papers). Réka Nemes collaborates with scholars based in Hungary, United States and Romania. Réka Nemes's co-authors include Béla Fülesdi, E. Tassonyi, J. Ross Renew, Thomas Fuchs‐Buder, Szabolcs Lengyel, Denis Schmartz, László Asztalos, Csilla Molnár, Éva Simon and Sorin J. Brull and has published in prestigious journals such as SHILAP Revista de lepidopterología, Anesthesiology and Anesthesia & Analgesia.

In The Last Decade

Réka Nemes

27 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Réka Nemes	271	191	108	97	79	28	347
A. F. Kopman	323 1.2×	167 0.9×	130 1.2×	116 1.2×	93 1.2×	17	376
S Ogawa	266 1.0×	170 0.9×	96 0.9×	86 0.9×	79 1.0×	25	330
G. H. Beemer	260 1.0×	159 0.8×	57 0.5×	78 0.8×	65 0.8×	24	326
Per Westrin	262 1.0×	162 0.8×	61 0.6×	135 1.4×	55 0.7×	20	377
Young Ju Won	239 0.9×	241 1.3×	95 0.9×	60 0.6×	62 0.8×	31	399
Mitsuharu Kodaka	173 0.6×	138 0.7×	73 0.7×	68 0.7×	132 1.7×	45	393
Allison Martinez	292 1.1×	122 0.6×	53 0.5×	130 1.3×	109 1.4×	18	403
Cheng Lin	190 0.7×	255 1.3×	80 0.7×	58 0.6×	76 1.0×	22	401
Christoph Unterbuchner	161 0.6×	128 0.7×	87 0.8×	49 0.5×	84 1.1×	19	306
Kyung Mi Kim	257 0.9×	172 0.9×	77 0.7×	88 0.9×	93 1.2×	36	403

Countries citing papers authored by Réka Nemes

Since Specialization

Citations

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

Fields of papers citing papers by Réka Nemes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Réka Nemes

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