Hans J. Doddema

31 total papers · 1.4k total citations
25 papers, 1.0k citations indexed

About

Hans J. Doddema is a scholar working on Molecular Biology, Pollution and Process Chemistry and Technology. According to data from OpenAlex, Hans J. Doddema has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pollution and 5 papers in Process Chemistry and Technology. Recurrent topics in Hans J. Doddema's work include Odor and Emission Control Technologies (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Wastewater Treatment and Nitrogen Removal (4 papers). Hans J. Doddema is often cited by papers focused on Odor and Emission Control Technologies (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Wastewater Treatment and Nitrogen Removal (4 papers). Hans J. Doddema collaborates with scholars based in Netherlands, China and Spain. Hans J. Doddema's co-authors include Godfried D. Vogels, Huub H. J. Cox, W. Harder, Wim Harder, Chris van der Drift, Christian Kennes, Jim A. Field, H.H.M. Rijnaarts, M. Veenhuis and J.W. van Groenestijn and has published in prestigious journals such as Applied and Environmental Microbiology, Bioresource Technology and Biochemical and Biophysical Research Communications.

In The Last Decade

Hans J. Doddema

25 papers receiving 916 citations

Author Peers

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

Author						Papers	Cites
Hans J. Doddema	340	320	286	210	148	25	1.0k
Elisa Rodríguez	184 0.5×	303 0.9×	306 1.1×	144 0.7×	70 0.5×	37	843
J.J. Godon	159 0.5×	356 1.1×	71 0.2×	150 0.7×	58 0.4×	26	913
Andrea Negroni	208 0.6×	505 1.6×	57 0.2×	161 0.8×	65 0.4×	30	1.1k
Sara Cantera	361 1.1×	155 0.5×	165 0.6×	63 0.3×	55 0.4×	40	871
Tomoko Yasuda	165 0.5×	482 1.5×	70 0.2×	121 0.6×	49 0.3×	43	1.2k
Alberto Vergara‐Fernández	71 0.2×	216 0.7×	391 1.4×	384 1.8×	40 0.3×	40	965
Hiroyuki Fuse	328 1.0×	253 0.8×	30 0.1×	147 0.7×	306 2.1×	61	964
Pierre Juteau	279 0.8×	612 1.9×	65 0.2×	176 0.8×	49 0.3×	34	1.0k
V. B. Manilal	128 0.4×	356 1.1×	82 0.3×	167 0.8×	71 0.5×	22	964
John J. Classen	58 0.2×	215 0.7×	86 0.3×	130 0.6×	60 0.4×	67	951

Countries citing papers authored by Hans J. Doddema

Since Specialization

Citations

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

Fields of papers citing papers by Hans J. Doddema

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans J. Doddema. 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 Hans J. Doddema. The network helps show where Hans J. Doddema may publish in the future.

Co-authorship network of co-authors of Hans J. Doddema

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