Arvid Berg

802 total citations · 1 hit paper
7 papers, 500 citations indexed

About

Arvid Berg is a scholar working on Molecular Biology, Computational Theory and Mathematics and Information Systems and Management. According to data from OpenAlex, Arvid Berg has authored 7 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Information Systems and Management. Recurrent topics in Arvid Berg's work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (2 papers) and Analytical Chemistry and Chromatography (2 papers). Arvid Berg is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (2 papers) and Analytical Chemistry and Chromatography (2 papers). Arvid Berg collaborates with scholars based in Sweden, Netherlands and United Kingdom. Arvid Berg's co-authors include Ola Spjuth, Jonathan Alvarsson, Egon Willighagen, Stefan Kühn, Christoph Steinbeck, Gilleain Torrance, Lars Carlsson, Chris T. Evelo, Tomáš Pluskal and John W. Mayfield and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Frontiers in Pharmacology.

In The Last Decade

Arvid Berg

6 papers receiving 485 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching

2017 366 citations Egon Willighagen, John W. Mayfield et al. Journal of Cheminformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Arvid Berg Sweden	6	309	288	108	91	49	7	500
Gilleain Torrance United Kingdom	4	251 0.8×	277 1.0×	95 0.9×	88 1.0×	43 0.9×	5	457
Timon Schroeter Germany	12	466 1.5×	265 0.9×	103 1.0×	188 2.1×	69 1.4×	14	631
Emilio Xavier Esposito United States	13	438 1.4×	376 1.3×	55 0.5×	137 1.5×	80 1.6×	20	661
Olga Obrezanova United Kingdom	13	388 1.3×	342 1.2×	111 1.0×	118 1.3×	20 0.4×	21	704
Todor Pavlov Bulgaria	15	440 1.4×	173 0.6×	88 0.8×	55 0.6×	25 0.5×	22	804
Sampada A. Shahane United States	11	304 1.0×	312 1.1×	32 0.3×	83 0.9×	46 0.9×	13	595
Nina Nikolova Bulgaria	7	330 1.1×	182 0.6×	108 1.0×	80 0.9×	30 0.6×	17	519
Miguel Rojas‐Chertó Netherlands	8	278 0.9×	528 1.8×	236 2.2×	73 0.8×	64 1.3×	8	763
Tianbiao Yang China	12	403 1.3×	473 1.6×	51 0.5×	148 1.6×	55 1.1×	17	664
Sebastian Schneckener Germany	13	198 0.6×	223 0.8×	72 0.7×	76 0.8×	34 0.7×	18	540

Countries citing papers authored by Arvid Berg

Since Specialization

Citations

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

Fields of papers citing papers by Arvid Berg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvid Berg

This figure shows the co-authorship network connecting the top 25 collaborators of Arvid Berg. A scholar is included among the top collaborators of Arvid Berg 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 Arvid Berg. Arvid Berg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Alvarsson, Jonathan, Arvid Berg, Anders Larsson, et al.. (2020). Predicting target profiles with confidence as a service using docking scores. Journal of Cheminformatics. 12(1). 1 indexed citations

2.

Lampa, Samuel, et al.. (2018). Predicting Off-Target Binding Profiles With Confidence Using Conformal Prediction. Frontiers in Pharmacology. 9. 1256–1256. 24 indexed citations

3.

Lapins, Maris, Samuel Lampa, Arvid Berg, et al.. (2018). A confidence predictor for logD using conformal regression and a support-vector machine. Journal of Cheminformatics. 10(1). 17–17. 46 indexed citations

4.

Willighagen, Egon, John W. Mayfield, Jonathan Alvarsson, et al.. (2017). The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching. Journal of Cheminformatics. 9(1). 33–33. 366 indexed citations breakdown →

5.

Spjuth, Ola, Arvid Berg, Sam Adams, & Egon Willighagen. (2013). Applications of the InChI in cheminformatics with the CDK and Bioclipse. Journal of Cheminformatics. 5(1). 7 indexed citations

6.

Spjuth, Ola, Lars Carlsson, Jonathan Alvarsson, et al.. (2012). Bioclipse-R: integrating management and visualization of life science data with statistical analysis. Bioinformatics. 29(2). 286–289. 8 indexed citations

7.

Spjuth, Ola, Jonathan Alvarsson, Arvid Berg, et al.. (2009). Bioclipse 2: A scriptable integration platform for the life sciences. BMC Bioinformatics. 10(1). 397–397. 48 indexed citations

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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