Oliver M. Cliff

47 total papers · 757 total citations
17 papers, 412 citations indexed

About

Oliver M. Cliff is a scholar working on Molecular Biology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Oliver M. Cliff has authored 17 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Oliver M. Cliff's work include Zoonotic diseases and public health (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Robotics and Sensor-Based Localization (3 papers). Oliver M. Cliff is often cited by papers focused on Zoonotic diseases and public health (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Robotics and Sensor-Based Localization (3 papers). Oliver M. Cliff collaborates with scholars based in Australia, United States and Uganda. Oliver M. Cliff's co-authors include Robert Fitch, Ramgopal R. Mettu, Graeme Best, Timothy Patten, Mikhail Prokopenko, D. A. Saunders, Salah Sukkarieh, Cameron Zachreson, Robert Heinsohn and Joseph T. Lizier and has published in prestigious journals such as Scientific Reports, Science Advances and The International Journal of Robotics Research.

In The Last Decade

Oliver M. Cliff

17 papers receiving 402 citations

Author Peers

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

Author						Papers	Cites
Oliver M. Cliff	92	92	89	76	45	17	412
Hans Hauska	14 0.2×	155 1.7×	67 0.8×	31 0.4×	14 0.3×	16	467
Jinshan Wang	71 0.8×	28 0.3×	123 1.4×	14 0.2×	29 0.6×	38	442
S. Aasha Nandhini	9 0.1×	31 0.3×	88 1.0×	50 0.7×	20 0.4×	31	374
Gaddi Blumrosen	16 0.2×	27 0.3×	54 0.6×	65 0.9×	13 0.3×	25	445
Mohamad Nizam Bin Ayub	31 0.3×	86 0.9×	83 0.9×	57 0.8×	10 0.2×	24	438
Hubertus F. von Bremen	8 0.1×	45 0.5×	33 0.4×	115 1.5×	33 0.7×	17	494
Ming He	79 0.9×	70 0.8×	82 0.9×	33 0.4×	24 0.5×	34	407
Martina Mammarella	175 1.9×	30 0.3×	50 0.6×	38 0.5×	38 0.8×	41	452
Ching‐Ju Chen	41 0.4×	14 0.2×	64 0.7×	29 0.4×	5 0.1×	22	470
Sunita Garhwal	7 0.1×	249 2.7×	39 0.4×	34 0.4×	29 0.6×	24	471

Countries citing papers authored by Oliver M. Cliff

Since Specialization

Citations

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

Fields of papers citing papers by Oliver M. Cliff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver M. Cliff. 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 Oliver M. Cliff. The network helps show where Oliver M. Cliff may publish in the future.

Co-authorship network of co-authors of Oliver M. Cliff

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver M. Cliff. A scholar is included among the top collaborators of Oliver M. Cliff 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 Oliver M. Cliff. Oliver M. Cliff 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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