Tim M. J. Ewoldt

27 total papers · 531 total citations
20 papers, 336 citations indexed

About

Tim M. J. Ewoldt is a scholar working on Pharmacology, Epidemiology and Molecular Medicine. According to data from OpenAlex, Tim M. J. Ewoldt has authored 20 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pharmacology, 15 papers in Epidemiology and 6 papers in Molecular Medicine. Recurrent topics in Tim M. J. Ewoldt's work include Antibiotics Pharmacokinetics and Efficacy (18 papers), Pneumonia and Respiratory Infections (11 papers) and Antibiotic Resistance in Bacteria (6 papers). Tim M. J. Ewoldt is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (18 papers), Pneumonia and Respiratory Infections (11 papers) and Antibiotic Resistance in Bacteria (6 papers). Tim M. J. Ewoldt collaborates with scholars based in Netherlands, Switzerland and Belgium. Tim M. J. Ewoldt's co-authors include Birgit C. P. Koch, Alan Abdulla, Henrik Endeman, Anouk E. Muller, Nicole Hunfeld, Diederik Gommers, Teun van Gelder, Soma Bahmany, Brenda C. M. de Winter and Wim J. R. Rietdijk and has published in prestigious journals such as Intensive Care Medicine, Journal of Antimicrobial Chemotherapy and Critical Care.

In The Last Decade

Tim M. J. Ewoldt

20 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Tim M. J. Ewoldt	294	167	108	89	62	20	336
Syamhanin Adnan	242 0.8×	137 0.8×	151 1.4×	144 1.6×	47 0.8×	6	375
Sahand Imani	240 0.8×	154 0.9×	81 0.8×	69 0.8×	32 0.5×	11	302
Alexandre Charmillon	142 0.5×	114 0.7×	93 0.9×	52 0.6×	50 0.8×	28	360
Tomofumi Ohmori	195 0.7×	77 0.5×	85 0.8×	55 0.6×	73 1.2×	12	403
Sofie Dhaese	211 0.7×	154 0.9×	82 0.8×	88 1.0×	28 0.5×	19	294
R. Le Floch	120 0.4×	97 0.6×	58 0.5×	130 1.5×	44 0.7×	18	320
Matthias Gijsen	211 0.7×	109 0.7×	45 0.4×	58 0.7×	27 0.4×	32	295
M A Gill	215 0.7×	117 0.7×	57 0.5×	135 1.5×	43 0.7×	22	366
Femke de Velde	185 0.6×	132 0.8×	37 0.3×	65 0.7×	25 0.4×	10	309
Evelyn Dhont	228 0.8×	123 0.7×	47 0.4×	42 0.5×	30 0.5×	30	337

Countries citing papers authored by Tim M. J. Ewoldt

Since Specialization

Citations

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

Fields of papers citing papers by Tim M. J. Ewoldt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim M. J. Ewoldt. 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 Tim M. J. Ewoldt. The network helps show where Tim M. J. Ewoldt may publish in the future.

Co-authorship network of co-authors of Tim M. J. Ewoldt

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