M. Heck

11.9k total citations
10 papers, 177 citations indexed

About

M. Heck is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Radiation. According to data from OpenAlex, M. Heck has authored 10 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nuclear and High Energy Physics, 4 papers in Materials Chemistry and 3 papers in Radiation. Recurrent topics in M. Heck's work include Particle Detector Development and Performance (4 papers), Particle physics theoretical and experimental studies (3 papers) and Advanced machining processes and optimization (2 papers). M. Heck is often cited by papers focused on Particle Detector Development and Performance (4 papers), Particle physics theoretical and experimental studies (3 papers) and Advanced machining processes and optimization (2 papers). M. Heck collaborates with scholars based in Germany, Poland and Austria. M. Heck's co-authors include Hugo M. Ortner, Thilo Rehren, P. Hoffmann, S. Flege, Wolfgang Ensinger, Barbara Wagner, Ewa Bulska, B. Stahl, Adam Hulanicki and Ewa Bulska and has published in prestigious journals such as Analytica Chimica Acta, International Journal of Refractory Metals and Hard Materials and Archaeometry.

In The Last Decade

M. Heck

8 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Heck Germany	5	86	65	62	43	35	10	177
M.A. Stanojev Pereira Brazil	8	19 0.2×	19 0.3×	41 0.7×	17 0.4×	12 0.3×	30	188
Lucilla Pronti Italy	10	174 2.0×	3 0.0×	20 0.3×	115 2.7×	127 3.6×	28	272
Alice Dal Fovo Italy	12	224 2.6×	7 0.1×	8 0.1×	103 2.4×	172 4.9×	35	329
Nobuo Kuwaki Japan	14	14 0.2×	13 0.2×	81 1.3×	12 0.3×	13 0.4×	48	530
Erich F. Schmidt	4	35 0.4×	22 0.3×	32 0.5×	7 0.2×	5 0.1×	7	126
P. Jalas Finland	6	18 0.2×	9 0.1×	15 0.2×	2 0.0×	6 0.2×	14	88
Andreas Charalambous Cyprus	8	86 1.0×	3 0.0×	6 0.1×	5 0.1×	7 0.2×	16	212
George L. Stout	5	227 2.6×	2 0.0×	16 0.3×	149 3.5×	162 4.6×	12	293
Hong Xiao China	8	20 0.2×	11 0.2×	57 0.9×	3 0.1×		30	171
J. Scifo Italy	6	4 0.0×	4 0.1×	32 0.5×	9 0.2×	4 0.1×	19	102

Countries citing papers authored by M. Heck

Since Specialization

Citations

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

Fields of papers citing papers by M. Heck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Heck

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

10 of 10 papers shown

1.

Baehr, S., Oliver Sander, M. Heck, M. Feindt, & Jürgen Becker. (2016). A framework for porting the NeuroBayes machine learning algorithm to FPGAs. Journal of Instrumentation. 11(1). C01058–C01058.

2.

Baehr, S., Oliver Sander, M. Heck, et al.. (2015). Online-Analysis of Hits in the Belle-II Pixeldetector for Separation of Slow Pions from Background. Journal of Physics Conference Series. 664(9). 92001–92001. 1 indexed citations

3.

Pulvermacher, C., Thomas M. Keck, M. Feindt, M. Heck, & T. Kuhr. (2015). An automated framework for hierarchical reconstruction ofBmesons at the Belle II experiment. Journal of Physics Conference Series. 608. 12048–12048.

4.

Lee, Soohyung, N. Katayama, Sogo Mineo, et al.. (2012). Implementation of parallel processing in thebasf2framework for Belle II. Journal of Physics Conference Series. 396(2). 22026–22026. 6 indexed citations

5.

Heck, M., et al.. (2007). Analytical investigations concerning the wear behaviour of cutting tools used for the machining of compacted graphite iron and grey cast iron. International Journal of Refractory Metals and Hard Materials. 26(3). 197–206. 64 indexed citations

6.

Wagner, Barbara, Ewa Bulska, B. Stahl, M. Heck, & Hugo M. Ortner. (2004). Analysis of Fe valence states in iron-gall inks from XVIth century manuscripts by 57Fe Mössbauer spectroscopy. Analytica Chimica Acta. 527(2). 195–202. 30 indexed citations

7.

Iyengar, Venkatesh, M. Heck, P. Hoffmann, et al.. (2004). Determination of boron, fluorine and some medium Z elements in diet samples. Journal of Radioanalytical and Nuclear Chemistry. 259(3). 515–520. 3 indexed citations

8.

Heck, M., Thilo Rehren, & P. Hoffmann. (2003). The Production of Lead–Tin Yellow at Merovingian Schleitheim (Switzerland)*. Archaeometry. 45(1). 33–44. 44 indexed citations

9.

Wagner, Barbara, Ewa Bulska, Adam Hulanicki, M. Heck, & Hugo M. Ortner. (2001). Topochemical investigation of ancient manuscripts. Fresenius Journal of Analytical Chemistry. 369(7-8). 674–679. 27 indexed citations

10.

Schulz, Herbert, et al.. (2000). The wear process of CGI cutting and machining developments. TUbilio (Technical University of Darmstadt). 2 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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