Mario Novak

228 total papers · 8.5k total citations
71 papers, 722 citations indexed

About

Mario Novak is a scholar working on Archeology, Genetics and Paleontology. According to data from OpenAlex, Mario Novak has authored 71 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Archeology, 20 papers in Genetics and 8 papers in Paleontology. Recurrent topics in Mario Novak's work include Forensic Anthropology and Bioarchaeology Studies (45 papers), Forensic and Genetic Research (19 papers) and Paleopathology and ancient diseases (12 papers). Mario Novak is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (45 papers), Forensic and Genetic Research (19 papers) and Paleopathology and ancient diseases (12 papers). Mario Novak collaborates with scholars based in Croatia, United States and Ireland. Mario Novak's co-authors include Mario Šlaus, Ron Pinhasi, Daniel Fernandes, Kendra Sirak, Željka Bedić, Vyacheslav Moiseyev, Andrey Gromov, Songül Alpaslan-Roodenberg, Fokke Gerritsen and Alexandra Anders and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mario Novak

61 papers receiving 668 citations

Author Peers

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

Author						Papers	Cites
Mario Novak	508	369	182	108	64	71	722
Darlene A. Weston	431 0.8×	287 0.8×	168 0.9×	147 1.4×	109 1.7×	24	883
Petr Velemínský	596 1.2×	198 0.5×	233 1.3×	79 0.7×	157 2.5×	84	881
Dominique Castex	417 0.8×	353 1.0×	188 1.0×	153 1.4×	120 1.9×	65	902
Vyacheslav Moiseyev	354 0.7×	416 1.1×	241 1.3×	104 1.0×	125 2.0×	34	669
Abigail Bouwman	323 0.6×	419 1.1×	153 0.8×	126 1.2×	44 0.7×	35	786
Sotiris K. Manolis	631 1.2×	295 0.8×	99 0.5×	165 1.5×	54 0.8×	36	793
Michaela Harbeck	278 0.5×	353 1.0×	216 1.2×	138 1.3×	59 0.9×	28	674
Sandra Lösch	436 0.9×	218 0.6×	309 1.7×	40 0.4×	86 1.3×	70	777
Denise Ferembach	489 1.0×	159 0.4×	123 0.7×	75 0.7×	93 1.5×	38	649
Anna Kjellström	267 0.5×	179 0.5×	191 1.0×	52 0.5×	69 1.1×	46	684

Countries citing papers authored by Mario Novak

Since Specialization

Citations

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

Fields of papers citing papers by Mario Novak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Novak

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