Martin Iggland

492 total citations
9 papers, 390 citations indexed

About

Martin Iggland is a scholar working on Materials Chemistry, Astronomy and Astrophysics and Atmospheric Science. According to data from OpenAlex, Martin Iggland has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 4 papers in Astronomy and Astrophysics and 2 papers in Atmospheric Science. Recurrent topics in Martin Iggland's work include Crystallization and Solubility Studies (5 papers), Origins and Evolution of Life (4 papers) and Enzyme Structure and Function (3 papers). Martin Iggland is often cited by papers focused on Crystallization and Solubility Studies (5 papers), Origins and Evolution of Life (4 papers) and Enzyme Structure and Function (3 papers). Martin Iggland collaborates with scholars based in Switzerland, China and Sweden. Martin Iggland's co-authors include Marco Mazzotti, David R. Ochsenbein, Flurin Hänseler, Thomas Vetter, Roland Müller, María P. Fernández‐Ronco, Johannes Kluge, Tobias Mattisson, Anders Lyngfelt and Henrik Leion and has published in prestigious journals such as Chemical Engineering Science, Crystal Growth & Design and CrystEngComm.

In The Last Decade

Martin Iggland

9 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Iggland Switzerland	7	247	158	86	65	50	9	390
Stephanie Thouvenel-Romans United States	8	99 0.4×	112 0.7×	40 0.5×	10 0.2×	87 1.7×	9	389
S. Ramos-Bernal Mexico	11	85 0.3×	149 0.9×	80 0.9×	13 0.2×	20 0.4×	64	336
J. Douda Mexico	12	198 0.8×	38 0.2×	88 1.0×	33 0.5×	20 0.4×	43	469
Kostiantyn Kulyk Sweden	10	95 0.4×	53 0.3×	13 0.2×	63 1.0×	40 0.8×	15	331
Ryan S. Jakubek United States	10	59 0.2×	96 0.6×	74 0.9×	19 0.3×	33 0.7×	32	359
Tomohiro Ono Japan	16	93 0.4×	139 0.9×	79 0.9×	33 0.5×	13 0.3×	34	503
María J. Dávila Spain	17	93 0.4×	45 0.3×	46 0.5×	46 0.7×	12 0.2×	25	677
Michael A. Grayson United States	16	65 0.3×	78 0.5×	47 0.5×	149 2.3×	27 0.5×	41	615
Mikołaj J. Janicki Poland	10	67 0.3×	89 0.6×	128 1.5×	10 0.2×	13 0.3×	19	282
Jason J. Pagano United States	8	78 0.3×	90 0.6×	29 0.3×	7 0.1×	77 1.5×	11	285

Countries citing papers authored by Martin Iggland

Since Specialization

Citations

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

Fields of papers citing papers by Martin Iggland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Iggland

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

All Works

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9 of 9 papers shown

1.

Wang, Yan, et al.. (2018). Characterization of a vibromixer: Experimental and modelling study of mixing in a batch reactor. Process Safety and Environmental Protection. 137. 534–543. 5 indexed citations

2.

Iggland, Martin, et al.. (2014). Complete solid state deracemization by High Pressure Homogenization. Chemical Engineering Science. 111. 106–111. 42 indexed citations

3.

Ochsenbein, David R., Martin Iggland, Marco Mazzotti, & Manfred Morari. (2014). Crystallization Analysis Toolbox (CAT) - An open source population balance equation solver. 2 indexed citations

4.

Iggland, Martin, Roland Müller, & Marco Mazzotti. (2014). On the Effect of Initial Conditions in Viedma Ripening. Crystal Growth & Design. 14(5). 2488–2493. 27 indexed citations

5.

Iggland, Martin & Marco Mazzotti. (2013). Solid state deracemisation through growth, dissolution and solution-phase racemisation. CrystEngComm. 15(12). 2319–2319. 20 indexed citations

6.

Vetter, Thomas, Martin Iggland, David R. Ochsenbein, Flurin Hänseler, & Marco Mazzotti. (2013). Modeling Nucleation, Growth, and Ostwald Ripening in Crystallization Processes: A Comparison between Population Balance and Kinetic Rate Equation. Crystal Growth & Design. 13(11). 4890–4905. 121 indexed citations

7.

Iggland, Martin & Marco Mazzotti. (2012). Population Balance Modeling with Size-Dependent Solubility: Ostwald Ripening. Crystal Growth & Design. 12(3). 1489–1500. 67 indexed citations

8.

Iggland, Martin & Marco Mazzotti. (2011). A Population Balance Model for Chiral Resolution via Viedma Ripening. Crystal Growth & Design. 11(10). 4611–4622. 94 indexed citations

9.

Iggland, Martin, Henrik Leion, Tobias Mattisson, & Anders Lyngfelt. (2010). Effect of fuel particle size on reaction rate in chemical looping combustion. Chemical Engineering Science. 65(22). 5841–5851. 12 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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